This paper presents a comparative study on the suitability of using Hammerstein or Wiener models to identify the power amplifier (PA) nonlinear behavior considering memory effects. This comparative takes into account the operational complexit

The digital baseband predistorter is an effective technique to compensate for the nonlinearity of power amplifiers (PAs) with memory effects. However, most available adaptive predistorters based on direct learning architectures suffer from slow c